Energy cost is increasingly crucial in the modern computing industry wit...
In practice, incentive providers (i.e., principals) often cannot observe...
This work is dedicated to the algorithm design in a competitive framewor...
We develop the first active learning method in the predict-then-optimize...
Motivated by a number of real-world applications from domains like healt...
Path planning in the multi-robot system refers to calculating a set of
a...
Quantum computing is expected to have transformative influences on many
...
The exploration/exploitation trade-off is an inherent challenge in
data-...
We study an urban bike lane planning problem based on the fine-grained b...
In practical applications, it is common that wildfire simulators do not
...